I am a 2nd-year Ph.D. student working on Machine Learning at ML@GaTech, advised by Prof. Yongxin Chen. Previously, I obtained my B.E. of Computer Science from Shanghai Jiao Tong University with honor in 2022. I was a Visiting Student at MIT CSAIL supervised by Josh Tenenbaum, working closely with Yunzhu Li and Fish Tung.

My research interest lies in broad aspects of Machine Learning, Computer Vision and Natural Language Processing. Currenty, I target in the following directions:

• Generative Models + X: utilize/learn strong prior knowledge using Generative Models (e.g. Diffusion Models), to solve AI problems, including robust AI, robot learning and inverse problem
• Compositional and Explainable AI: learning Compositional and Explainable representation, stuctures or solutions for deep learning problems in e.g. Computer Vision and Natural Language Processing